class_docstr: A module (custom layer) for normalizing the input to have a fixed 
  mean and standard deviation (user-specified).
code: def __init__(self, new_mean, new_std):
      super(InputNormalize, self).__init__()
      new_std = new_std[..., None, None]
      new_mean = new_mean[..., None, None]
  
      self.register_buffer("new_mean", new_mean)
      self.register_buffer("new_std", new_std)
  
imports: import torch
  import shutil
  import dill
  import os
  from subprocess import Popen, PIPE
  import pandas
  from PIL import Image
  from .None import constants
label_desc: Use image node_id 1 to create a new InputNormalize object from inherited base classes: ch.nn with example: obj = InputNormalize(new_mean, new_std)